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<table width="100%" summary="page for Saxony"><tr><td>Saxony</td><td align="right">R Documentation</td></tr></table>

<h2>Families in Saxony</h2>

<h3>Description</h3>


<p>Data from Geissler, cited in Sokal &amp; Rohlf (1969) and Lindsey (1995)
on gender distributions in families in Saxony in the 19th century.
</p>


<h3>Usage</h3>

<pre>
data("Saxony")
</pre>


<h3>Format</h3>


<p>A 1-way table giving the number of male children in 6115 families of
size 12.  The variable and its levels are
</p>

<table summary="Rd table">
<tr>
 <td align="right">
    No </td><td align="left"> Name </td><td align="left"> Levels </td>
</tr>
<tr>
 <td align="right">
    1 </td><td align="left"> nMales </td><td align="left"> 0, 1, ..., 12 </td>
</tr>
<tr>
 <td align="right">
  </td>
</tr>

</table>



<h3>Source</h3>


<p>M. Friendly (2000),
Visualizing Categorical Data, pages 40&ndash;42.
</p>


<h3>References</h3>


<p>J. K. Lindsey (1995),
<EM>Analysis of Frequency and Count Data</EM>.
Oxford University Press, Oxford, UK.
</p>
<p>R. R. Sokal &amp; F. J. Rohlf (1969),
<EM>Biometry. The Principles and Practice of Statistics</EM>.
W. H. Freeman, San Francisco, CA.
</p>
<p>M. Friendly (2000),
<EM>Visualizing Categorical Data</EM>.
SAS Institute, Cary, NC.
</p>


<h3>Examples</h3>

<pre>
data("Saxony")
gf &lt;- goodfit(Saxony, type = "binomial")
summary(gf)
plot(gf)
</pre>


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